11 of 11 Remote/Hybrid Data Engineering Jobs in Central London

Data Engineer Lead - Tier 1 Bank - London - 6 months Role - Data Engineer Lead Rate - £700 per day (Inside IR35) Duration - 6 months with very likely extension Location - Hybrid/Liverpool Street - 3 days per week in an office in Liverpool Street (London) Role The Data Engineer Lead … responsible for designing, building, and supporting modern data platform, with a particular focus on Databricks, cloud-based data engineering, and leading the migration of legacy Oracle systems into scalable, cloud-native environments. The role supports the organisation's data strategy especially on Finance and Regulatory domain ...

Data Analyst or Data Business Analyst | Azure Data Factory | Snowflake and Star | Medallion Architecture | Insurance | Geospatial Data | £550/day Inside IR35 | 6 month Contract | London/City (Hybrid working 2 days in the London office per week). Our client (a global Insurance firm … requirement for an experienced Data Analyst to work with their Data Engineering team for their Azure datawarehouse projects using ADF/Azure Data Factory, ETL process - and Star/Snowflake schemas. You'll also have some experience of Geographical Data/Geospatial Data/ ...

Manager Lead AI Engineer (Audit Technology) A high-impact engineering leadership role at one of the world's most respected professional services firms, building production-grade AI systems that are reshaping the future of audit delivery. Job Title: Manager Lead AI Engineer (Audit Technology) Location: London/Manchester/… Leeds/Glasgow (hybrid, flexible working available) Job Type: Permanent, Full-time Sector: Technology/AI Engineering/Professional Services About the Company Our client is a Big 4 professional services firm whose Audit Technology team is at the forefront of innovation combining Artificial Intelligence, Data Engineering ...

Cribl Data Analytics Engineer Location: London (Hybrid 4 Days per Week Onsite) Contract Length: 12 Months Engagement: Inside IR35 Start Date: ASAP Overview We are supporting a leading financial services organisation in London seeking an experienced Cribl Data Analytics Engineer to join a large-scale Cyber Security … Observability programme. The successful candidate will be responsible for designing, implementing, and optimising data pipelines using Cribl technologies, ensuring the efficient collection, transformation, routing, and analysis of security and operational telemetry data across enterprise environments. This role will work closely with Cyber Security, SOC, Infrastructure, Cloud, Data ...

required to work through an umbrella company for the duration of the contract. I am searching for an experienced Business Intelligence Engineer/AWS Data Engineer to support the development of a modern data platform and contribute to emerging AI-driven initiatives. This role will suit someone with … strong foundation in AWS data engineering and BI, alongside practical exposure to AI/ML concepts or tools. You must have strong hands-on experience in: AWS Data Engineering stack (e.g. Glue, S3, Lambda, Redshift, Athena) SQL (advanced level) Python (for data processing and pipeline ...

Engineering Manager | Python | AI Platform & Data Engineering Location: London (Hybrid - 1-2 Days Per Week) Salary: Up to £140,000 + Bonus + Benefits We're working with a rapidly growing technology business that is making significant investment into the platforms, APIs and data infrastructure that … will underpin its future AI capabilities. As part of this journey, they're looking for an Engineering Manager to build and lead a brand-new engineering function focused on developing scalable Python services, API architecture, and large-scale data integrations that enable AI products across the organisation. ...

like a startup within Marsh: a small, high- calibre team with the pace and autonomy of a startup, backed by the scale, reach, and data advantage of a global leader. This is an opportunity to drive meaningful transformation across a major enterprise, solving complex problems with high visibility … fast-moving environments and raise the pace and quality of execution. You will help build what we believe will become one of the largest data platforms in the insurance industry, alongside a sophisticated digital platform supporting renewal strategy, risk insight, and better client outcomes. This is a hybrid role ...

Hybrid (2-3 days onsite, London) Position Type: Permanent Salary: £50,000 - £60,000 per annum + Benefits Experience Required: 6-8 years in Data Integration/ETL About the Role Are you a seasoned Data Integration specialist with deep expertise in cloud ecosystems? We are seeking … Senior IDMC Developer to join a global, fast-paced data engineering team. In this role, you will be the driving force behind designing, building, and optimizing enterprise-scale data pipelines. This is a fantastic opportunity for an Informatica expert who thrives on connecting complex SaaS environments, modern ...

experienced AI Technical Architect to join an existing team of experts. In this highly visible role, you will act as the bridge between complex data science and robust cloud architecture-spearheading the design, governance, and delivery of enterprise-grade AI solutions. You will technically steer engineering teams, manage … Design and implement robust on-premises, cloud, and hybrid AI solutions, ensuring strict technical governance and best practices across the delivery lifecycle. GenAI & LLM Engineering: Take a hands-on approach to deploying, fine-tuning, and customising pretrained LLMs. Build intelligent systems utilising Prompt Engineering, Vector Databases, Azure OpenAI ...

deep technical engine behind their internal AI deployment team. Where the AI Deployment Strategist scopes and builds agents, you own the infrastructure underneath data pipelines, system integrations, and everything that ensures deployed AI solutions work reliably at scale. You will take prototypes to production, ensure all business systems communicate … correctly, and build the technical backbone that our AI tooling depends on. Job Responsibilities Own the data infrastructure underpinning AI deployments pipelines, storage, and data serving Integrate AI solutions into the existing business ecosystem: CRMs, ERPs, SaaS tools, and internal systems Build and maintain APIs, webhooks, and middleware ...

native architectures using serverless and PaaS services to enable rapid deployment, cost control and scalability Define lightweight integration approaches connecting AI solutions with enterprise data sources, systems and APIs Establish security, governance and compliance standards for rapid AI development, ensuring data protection and responsible use Design AI architectures … Deep knowledge of Generative AI and agent-based AI frameworks including RAG and orchestration patterns Strong experience working with vector databases and AI-specific data stores Solid understanding of AI and ML models, LLMs and generative AI architectures Experience implementing governance frameworks for model selection, deployment and lifecycle management ...